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. This means that the majority of the work will concern parallel catalysis experiments in pressurized lab equipment and the synthesis of polyesters at lab scale. The project is part of a larger European
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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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electronic lab notebook (ELN) records. Manage multiple projects and tasks in parallel in order to meet program-based milestones. Train one or more postdoctoral researchers and/or one or more technicians
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and manage comprehensive testing plans across all Epic modules (clinical, administrative, patient-facing, and research). Lead unit, integrated, regression, user acceptance (UAT), and parallel testing
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, maintaining electronic lab notebook (ELN) records. ● Manage multiple projects and tasks in parallel in order to meet program-based milestones. ● Train one or more postdoctoral researchers and/or one or more
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-driven techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel
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, Mixture-of-Experts; distributed training/inference (e.g. FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents. Federated & Collaborative